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Table 2 Performances of NEMII on datasets with fewer associations

From: A network embedding-based multiple information integration method for the MiRNA-disease association prediction

Ratio AUPR AUC F1 ACC REC SPEC PRE
0% 0.6104 ± 0.0012 0.9293 ± 0.0017 0.6147 ± 0.0025 0.9956 ± 0.0001 0.4893 ± 0.0060 0.9993 ± 0.0001 0.8289 ± 0.0164
10% 0.6001 ± 0.0018 0.9276 ± 0.0011 0.6045 ± 0.0037 0.9969 ± 0.0001 0.4811 ± 0.0051 0.9993 ± 0.0001 0.8176 ± 0.0168
20% 0.5956 ± 0.0030 0.9266 ± 0.0014 0.6036 ± 0.0040 0.9965 ± 0.0000 0.4738 ± 0.0091 0.9995 ± 0.0001 0.8354 ± 0.0169
30% 0.5863 ± 0.0026 0.9255 ± 0.0010 0.5946 ± 0.0036 0.9960 ± 0.0001 0.4620 ± 0.0074 0.9995 ± 0.0001 0.8390 ± 0.0290